In the modern digital era, only a handful of technologies have driven as much innovation as artificial intelligence (AI).

As AI models grow in complexity, enterprises, research institutions, and cloud providers increasingly depend on GPU clusters ...

Some of the super-complex computations asked of today’s hardware are so demanding that the compute burden must be handled ...

Tech companies are revamping computing — from how tiny chips are built to the way they are arranged, cooled and powered — in the race to build artificial intelligence that recreates the human brain.

Currently in production, Nvidia’s Blackwell Ultra series is an advanced iteration of the Blackwell chips unveiled at last ...

DDN, Dell, NetApp, Hitachi Vantara, and Pure Storage are among the storage vendors who are building a storage ecosystem ...

With FlashBlade//EXA, Pure Storage helps enterprises keep data-hungry GPUs fed to accelerate AI workloads - SiliconANGLE ...

In that same moment, a GPU can do thousands. Computer scientists call this parallel processing. And it means neural networks can analyze more data. “These are very different from chips used to ...